Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining

Author: Rozaida Ghazali

Publisher: Springer

ISBN: 3030360555

Page: 481

Download BOOK

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies.

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.



More Books:

Recent Advances on Soft Computing and Data Mining
Language: en
Pages: 481
Authors: Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy
Categories: Technology & Engineering
Type: BOOK - Published: 2019-12-05 - Publisher: Springer

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value
Recent Advances on Soft Computing and Data Mining
Language: en
Pages: 518
Authors: Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy
Categories: Computers
Type: BOOK - Published: 2018-01-11 - Publisher: Springer

This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the
Recent Advances on Soft Computing and Data Mining
Language: en
Pages: 705
Authors: Tutut Herawan, Rozaida Ghazali, Mustafa Mat Deris
Categories: Computers
Type: BOOK - Published: 2014-05-29 - Publisher: Springer

This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into
Recent Advances on Soft Computing and Data Mining
Language: en
Pages: 649
Authors: Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris
Categories: Computers
Type: BOOK - Published: 2017-02-01 - Publisher: Springer

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The
Recent Advances on Soft Computing and Data Mining
Language: en
Pages: 481
Authors: Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy
Categories: Technology & Engineering
Type: BOOK - Published: 2019-12-04 - Publisher: Springer Nature

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value